Abstract
Proximate concentration of green bean coffee is known as an important quality which influence the final flavour of coffee beverage. Lipid and carbohydrate are two of the proximate concentration, so that determination of those concentration in green coffee bean is needed. Commonly, determination of lipid and carbohydrate concentration was conducted using chemical method. This method spend time and destructive, so it is not suitable for industries which need a fast, nondestructive and environmentally friendly measurement. This study aimed to calibrate the NIR and chemical data of lipid and carbohydrate concentration using PLS method to build a real time prediction of coffee bean concentration. This study used a NIR wave of 1000-2500 nm, followed by determination of lipid and carbohydrate concentration by proximate analysis, first and second derivative, multiple scatter correction and standard normal variate as NIR data pretreatment. Result showed that lipid and carbohydrate concentration of Lintong arabica coffee bean could be well predicted using FT-NIRS.
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